Cargando…

High-throughput micro-phenotyping measurements applied to assess stalk lodging in maize (Zea mays L.)

BACKGROUND: The biomechanical properties of maize stalks largely determine their lodging resistance, which affects crop yield per unit area. However, the quantitative and qualitative relationship between micro-phenotypes and the biomechanics of maize stalks is still under examined. In particular, th...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Ying, Du, Jianjun, Wang, Jinglu, Ma, Liming, Lu, Xianju, Pan, Xiaodi, Guo, Xinyu, Zhao, Chunjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6203980/
https://www.ncbi.nlm.nih.gov/pubmed/30368254
http://dx.doi.org/10.1186/s40659-018-0190-7
_version_ 1783365971995525120
author Zhang, Ying
Du, Jianjun
Wang, Jinglu
Ma, Liming
Lu, Xianju
Pan, Xiaodi
Guo, Xinyu
Zhao, Chunjiang
author_facet Zhang, Ying
Du, Jianjun
Wang, Jinglu
Ma, Liming
Lu, Xianju
Pan, Xiaodi
Guo, Xinyu
Zhao, Chunjiang
author_sort Zhang, Ying
collection PubMed
description BACKGROUND: The biomechanical properties of maize stalks largely determine their lodging resistance, which affects crop yield per unit area. However, the quantitative and qualitative relationship between micro-phenotypes and the biomechanics of maize stalks is still under examined. In particular, the roles of the number, geometry, and distribution of vascular bundles of stalks in maize lodging resistance remain unclear. Research on these biomechanical properties will benefit from high-resolution micro-phenotypic image acquisition capabilities, which have been improved by modern X-ray imaging devices such as micro-CT and the development of micro-phenotyping analysis software. Hence, high-throughput image analysis and accurate quantification of anatomical phenotypes of stalks are necessary. RESULTS: We have updated VesselParser version 1.0 to version 2.0 and have improved its performance, accuracy, and computation strategies. Anatomical characteristics of the second and third stalk internodes of the cultivars ‘Jingke968’ and ‘Jingdan38’ were analyzed using VesselParser 2.0. The relationships between lodging resistance and anatomical phenotypes of stalks between the two different maize varieties were investigated. The total area of vascular bundles in the peripheral layer, auxiliary axis diameter, and total area of vascular bundles were revealed to have the highest correlation with mechanical properties, and anatomical phenotypes of maize stalk were better predictors of mechanical properties than macro features observed optically from direct measurement, such as diameter and perimeter. CONCLUSIONS: This study demonstrates the utility of VesselParser 2.0 in assessing stalk mechanical properties. The combination of anatomical phenotypes and mechanical behavior research provides unique insights into the problem of stalk lodging, showing that micro phenotypes of vascular bundles are good predictors of maize stalk mechanical properties that may be important indices for the evaluation and identification of the biomechanical properties to improve lodging resistance of future maize varieties.
format Online
Article
Text
id pubmed-6203980
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-62039802018-11-01 High-throughput micro-phenotyping measurements applied to assess stalk lodging in maize (Zea mays L.) Zhang, Ying Du, Jianjun Wang, Jinglu Ma, Liming Lu, Xianju Pan, Xiaodi Guo, Xinyu Zhao, Chunjiang Biol Res Research Article BACKGROUND: The biomechanical properties of maize stalks largely determine their lodging resistance, which affects crop yield per unit area. However, the quantitative and qualitative relationship between micro-phenotypes and the biomechanics of maize stalks is still under examined. In particular, the roles of the number, geometry, and distribution of vascular bundles of stalks in maize lodging resistance remain unclear. Research on these biomechanical properties will benefit from high-resolution micro-phenotypic image acquisition capabilities, which have been improved by modern X-ray imaging devices such as micro-CT and the development of micro-phenotyping analysis software. Hence, high-throughput image analysis and accurate quantification of anatomical phenotypes of stalks are necessary. RESULTS: We have updated VesselParser version 1.0 to version 2.0 and have improved its performance, accuracy, and computation strategies. Anatomical characteristics of the second and third stalk internodes of the cultivars ‘Jingke968’ and ‘Jingdan38’ were analyzed using VesselParser 2.0. The relationships between lodging resistance and anatomical phenotypes of stalks between the two different maize varieties were investigated. The total area of vascular bundles in the peripheral layer, auxiliary axis diameter, and total area of vascular bundles were revealed to have the highest correlation with mechanical properties, and anatomical phenotypes of maize stalk were better predictors of mechanical properties than macro features observed optically from direct measurement, such as diameter and perimeter. CONCLUSIONS: This study demonstrates the utility of VesselParser 2.0 in assessing stalk mechanical properties. The combination of anatomical phenotypes and mechanical behavior research provides unique insights into the problem of stalk lodging, showing that micro phenotypes of vascular bundles are good predictors of maize stalk mechanical properties that may be important indices for the evaluation and identification of the biomechanical properties to improve lodging resistance of future maize varieties. BioMed Central 2018-10-27 /pmc/articles/PMC6203980/ /pubmed/30368254 http://dx.doi.org/10.1186/s40659-018-0190-7 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Zhang, Ying
Du, Jianjun
Wang, Jinglu
Ma, Liming
Lu, Xianju
Pan, Xiaodi
Guo, Xinyu
Zhao, Chunjiang
High-throughput micro-phenotyping measurements applied to assess stalk lodging in maize (Zea mays L.)
title High-throughput micro-phenotyping measurements applied to assess stalk lodging in maize (Zea mays L.)
title_full High-throughput micro-phenotyping measurements applied to assess stalk lodging in maize (Zea mays L.)
title_fullStr High-throughput micro-phenotyping measurements applied to assess stalk lodging in maize (Zea mays L.)
title_full_unstemmed High-throughput micro-phenotyping measurements applied to assess stalk lodging in maize (Zea mays L.)
title_short High-throughput micro-phenotyping measurements applied to assess stalk lodging in maize (Zea mays L.)
title_sort high-throughput micro-phenotyping measurements applied to assess stalk lodging in maize (zea mays l.)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6203980/
https://www.ncbi.nlm.nih.gov/pubmed/30368254
http://dx.doi.org/10.1186/s40659-018-0190-7
work_keys_str_mv AT zhangying highthroughputmicrophenotypingmeasurementsappliedtoassessstalklodginginmaizezeamaysl
AT dujianjun highthroughputmicrophenotypingmeasurementsappliedtoassessstalklodginginmaizezeamaysl
AT wangjinglu highthroughputmicrophenotypingmeasurementsappliedtoassessstalklodginginmaizezeamaysl
AT maliming highthroughputmicrophenotypingmeasurementsappliedtoassessstalklodginginmaizezeamaysl
AT luxianju highthroughputmicrophenotypingmeasurementsappliedtoassessstalklodginginmaizezeamaysl
AT panxiaodi highthroughputmicrophenotypingmeasurementsappliedtoassessstalklodginginmaizezeamaysl
AT guoxinyu highthroughputmicrophenotypingmeasurementsappliedtoassessstalklodginginmaizezeamaysl
AT zhaochunjiang highthroughputmicrophenotypingmeasurementsappliedtoassessstalklodginginmaizezeamaysl